Overview

Dataset statistics

Number of variables17
Number of observations213
Missing cells682
Missing cells (%)18.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.4 KiB
Average record size in memory136.6 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
airtime is highly overall correlated with airstampHigh correlation
airstamp is highly overall correlated with airtimeHigh correlation
type is highly imbalanced (92.3%)Imbalance
airtime is highly imbalanced (61.3%)Imbalance
runtime has 12 (5.6%) missing valuesMissing
rating_average has 213 (100.0%) missing valuesMissing
medium has 159 (74.6%) missing valuesMissing
original has 159 (74.6%) missing valuesMissing
summary has 137 (64.3%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-06 03:02:46.387499
Analysis finished2023-08-06 03:02:50.815110
Duration4.43 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2462071.5
Minimum2327478
Maximum2604312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:50.917520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2327478
5-th percentile2417391.8
Q12456572
median2458487
Q32460926
95-th percentile2545921.4
Maximum2604312
Range276834
Interquartile range (IQR)4354

Descriptive statistics

Standard deviation34922.724
Coefficient of variation (CV)0.014184285
Kurtosis4.9204189
Mean2462071.5
Median Absolute Deviation (MAD)2200
Skewness1.4507972
Sum5.2442124 × 108
Variance1.2195967 × 109
MonotonicityNot monotonic
2023-08-05T22:02:51.108080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2401589 1
 
0.5%
2458823 1
 
0.5%
2457511 1
 
0.5%
2458825 1
 
0.5%
2458826 1
 
0.5%
2457512 1
 
0.5%
2458827 1
 
0.5%
2458828 1
 
0.5%
2457513 1
 
0.5%
2458829 1
 
0.5%
Other values (203) 203
95.3%
ValueCountFrequency (%)
2327478 1
0.5%
2393555 1
0.5%
2395107 1
0.5%
2397092 1
0.5%
2399225 1
0.5%
2401589 1
0.5%
2403502 1
0.5%
2410544 1
0.5%
2413958 1
0.5%
2416003 1
0.5%
ValueCountFrequency (%)
2604312 1
0.5%
2576028 1
0.5%
2576027 1
0.5%
2575566 1
0.5%
2575565 1
0.5%
2572527 1
0.5%
2568639 1
0.5%
2568638 1
0.5%
2563286 1
0.5%
2550720 1
0.5%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61055.643
Minimum5493
Maximum70093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:51.291215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5493
5-th percentile41815.8
Q162370
median65696
Q366110
95-th percentile68201
Maximum70093
Range64600
Interquartile range (IQR)3740

Descriptive statistics

Standard deviation10974.167
Coefficient of variation (CV)0.17974042
Kurtosis9.5872342
Mean61055.643
Median Absolute Deviation (MAD)484
Skewness-2.8912133
Sum13004852
Variance1.2043235 × 108
MonotonicityNot monotonic
2023-08-05T22:02:51.470887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65696 48
22.5%
66110 31
 
14.6%
45424 6
 
2.8%
66103 4
 
1.9%
68642 4
 
1.9%
66054 2
 
0.9%
69238 2
 
0.9%
66417 2
 
0.9%
66041 2
 
0.9%
66444 2
 
0.9%
Other values (90) 110
51.6%
ValueCountFrequency (%)
5493 1
0.5%
6441 1
0.5%
7847 1
0.5%
16753 1
0.5%
17046 1
0.5%
28381 1
0.5%
36745 1
0.5%
37152 1
0.5%
40471 1
0.5%
40965 2
0.9%
ValueCountFrequency (%)
70093 1
 
0.5%
69463 2
0.9%
69351 1
 
0.5%
69238 2
0.9%
68784 1
 
0.5%
68642 4
1.9%
67907 1
 
0.5%
67776 1
 
0.5%
66819 1
 
0.5%
66444 2
0.9%

url
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:51.745695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length98
Mean length79.258216
Min length58

Characters and Unicode

Total characters16882
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2401589/po-sezonu-videodajdzest-seasonvar-8x52-vypusk-410
2nd rowhttps://www.tvmaze.com/episodes/2575565/hocu-vse-znat-2x95-seria-95
3rd rowhttps://www.tvmaze.com/episodes/2575566/hocu-vse-znat-2x96-seria-96
4th rowhttps://www.tvmaze.com/episodes/2547038/gromkij-vopros-1x42-gromkij-vopros-s-podpiscikami-novogodnij-vypusk
5th rowhttps://www.tvmaze.com/episodes/2443149/manuna-2x05-seria-5
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2401589/po-sezonu-videodajdzest-seasonvar-8x52-vypusk-410 1
 
0.5%
https://www.tvmaze.com/episodes/2458685/brown-and-friends-1x08-elevator 1
 
0.5%
https://www.tvmaze.com/episodes/2575566/hocu-vse-znat-2x96-seria-96 1
 
0.5%
https://www.tvmaze.com/episodes/2547038/gromkij-vopros-1x42-gromkij-vopros-s-podpiscikami-novogodnij-vypusk 1
 
0.5%
https://www.tvmaze.com/episodes/2443149/manuna-2x05-seria-5 1
 
0.5%
https://www.tvmaze.com/episodes/2443150/manuna-2x06-seria-6 1
 
0.5%
https://www.tvmaze.com/episodes/2424823/s-nula-1x08-seria-08 1
 
0.5%
https://www.tvmaze.com/episodes/2417619/kungur-1x12-12-seria 1
 
0.5%
https://www.tvmaze.com/episodes/2445347/akter-1x05-seria-5 1
 
0.5%
https://www.tvmaze.com/episodes/2449318/the-director-who-buys-me-dinner-1x05-episode-5 1
 
0.5%
Other values (203) 203
95.3%
2023-08-05T22:02:52.392956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1426
 
8.4%
- 1312
 
7.8%
/ 1065
 
6.3%
s 1039
 
6.2%
o 931
 
5.5%
t 908
 
5.4%
w 800
 
4.7%
i 653
 
3.9%
a 644
 
3.8%
d 605
 
3.6%
Other values (30) 7499
44.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11465
67.9%
Decimal Number 2401
 
14.2%
Other Punctuation 1704
 
10.1%
Dash Punctuation 1312
 
7.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1426
12.4%
s 1039
 
9.1%
o 931
 
8.1%
t 908
 
7.9%
w 800
 
7.0%
i 653
 
5.7%
a 644
 
5.6%
d 605
 
5.3%
p 604
 
5.3%
m 571
 
5.0%
Other values (16) 3284
28.6%
Decimal Number
ValueCountFrequency (%)
2 469
19.5%
1 368
15.3%
4 334
13.9%
5 284
11.8%
8 196
8.2%
0 192
8.0%
3 166
 
6.9%
7 135
 
5.6%
6 135
 
5.6%
9 122
 
5.1%
Other Punctuation
ValueCountFrequency (%)
/ 1065
62.5%
. 426
 
25.0%
: 213
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1312
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11465
67.9%
Common 5417
32.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1426
12.4%
s 1039
 
9.1%
o 931
 
8.1%
t 908
 
7.9%
w 800
 
7.0%
i 653
 
5.7%
a 644
 
5.6%
d 605
 
5.3%
p 604
 
5.3%
m 571
 
5.0%
Other values (16) 3284
28.6%
Common
ValueCountFrequency (%)
- 1312
24.2%
/ 1065
19.7%
2 469
 
8.7%
. 426
 
7.9%
1 368
 
6.8%
4 334
 
6.2%
5 284
 
5.2%
: 213
 
3.9%
8 196
 
3.6%
0 192
 
3.5%
Other values (4) 558
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16882
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1426
 
8.4%
- 1312
 
7.8%
/ 1065
 
6.3%
s 1039
 
6.2%
o 931
 
5.5%
t 908
 
5.4%
w 800
 
4.7%
i 653
 
3.9%
a 644
 
3.8%
d 605
 
3.6%
Other values (30) 7499
44.4%

name
Text

Distinct160
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:52.819495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length49
Mean length14.699531
Min length3

Characters and Unicode

Total characters3131
Distinct characters135
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)60.6%

Sample

1st rowВыпуск 410
2nd rowСерия 95
3rd rowСерия 96
4th rowГРОМКИЙ ВОПРОС с подписчиками | Новогодний Выпуск
5th rowСерия 5
ValueCountFrequency (%)
episode 91
 
15.6%
the 17
 
2.9%
of 9
 
1.5%
серия 8
 
1.4%
brown 7
 
1.2%
to 6
 
1.0%
5 5
 
0.9%
11 5
 
0.9%
6 5
 
0.9%
on 5
 
0.9%
Other values (330) 424
72.9%
2023-08-05T22:02:53.492958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
 
11.8%
e 266
 
8.5%
o 197
 
6.3%
i 185
 
5.9%
s 157
 
5.0%
d 139
 
4.4%
p 118
 
3.8%
a 113
 
3.6%
E 110
 
3.5%
r 109
 
3.5%
Other values (125) 1368
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2013
64.3%
Uppercase Letter 453
 
14.5%
Space Separator 369
 
11.8%
Decimal Number 222
 
7.1%
Other Punctuation 41
 
1.3%
Other Letter 23
 
0.7%
Math Symbol 4
 
0.1%
Dash Punctuation 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 266
13.2%
o 197
 
9.8%
i 185
 
9.2%
s 157
 
7.8%
d 139
 
6.9%
p 118
 
5.9%
a 113
 
5.6%
r 109
 
5.4%
t 98
 
4.9%
n 85
 
4.2%
Other values (46) 546
27.1%
Uppercase Letter
ValueCountFrequency (%)
E 110
24.3%
S 34
 
7.5%
T 27
 
6.0%
D 25
 
5.5%
B 24
 
5.3%
F 19
 
4.2%
C 18
 
4.0%
M 17
 
3.8%
L 17
 
3.8%
N 15
 
3.3%
Other values (32) 147
32.5%
Decimal Number
ValueCountFrequency (%)
2 51
23.0%
1 49
22.1%
3 23
10.4%
9 17
 
7.7%
4 16
 
7.2%
0 15
 
6.8%
6 15
 
6.8%
5 14
 
6.3%
7 11
 
5.0%
8 11
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 10
24.4%
' 8
19.5%
, 5
12.2%
: 5
12.2%
" 4
 
9.8%
! 3
 
7.3%
? 3
 
7.3%
* 1
 
2.4%
/ 1
 
2.4%
& 1
 
2.4%
Other Letter
ValueCountFrequency (%)
ل 5
21.7%
د 4
17.4%
ر 2
 
8.7%
و 2
 
8.7%
ة 2
 
8.7%
ا 2
 
8.7%
ح 2
 
8.7%
ق 2
 
8.7%
ع 1
 
4.3%
ى 1
 
4.3%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
| 2
50.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2215
70.7%
Common 642
 
20.5%
Cyrillic 251
 
8.0%
Arabic 23
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 266
 
12.0%
o 197
 
8.9%
i 185
 
8.4%
s 157
 
7.1%
d 139
 
6.3%
p 118
 
5.3%
a 113
 
5.1%
E 110
 
5.0%
r 109
 
4.9%
t 98
 
4.4%
Other values (41) 723
32.6%
Cyrillic
ValueCountFrequency (%)
и 26
 
10.4%
я 16
 
6.4%
а 16
 
6.4%
р 15
 
6.0%
е 15
 
6.0%
с 12
 
4.8%
о 11
 
4.4%
к 10
 
4.0%
д 10
 
4.0%
С 10
 
4.0%
Other values (37) 110
43.8%
Common
ValueCountFrequency (%)
369
57.5%
2 51
 
7.9%
1 49
 
7.6%
3 23
 
3.6%
9 17
 
2.6%
4 16
 
2.5%
0 15
 
2.3%
6 15
 
2.3%
5 14
 
2.2%
7 11
 
1.7%
Other values (17) 62
 
9.7%
Arabic
ValueCountFrequency (%)
ل 5
21.7%
د 4
17.4%
ر 2
 
8.7%
و 2
 
8.7%
ة 2
 
8.7%
ا 2
 
8.7%
ح 2
 
8.7%
ق 2
 
8.7%
ع 1
 
4.3%
ى 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2856
91.2%
Cyrillic 251
 
8.0%
Arabic 23
 
0.7%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
 
12.9%
e 266
 
9.3%
o 197
 
6.9%
i 185
 
6.5%
s 157
 
5.5%
d 139
 
4.9%
p 118
 
4.1%
a 113
 
4.0%
E 110
 
3.9%
r 109
 
3.8%
Other values (67) 1093
38.3%
Cyrillic
ValueCountFrequency (%)
и 26
 
10.4%
я 16
 
6.4%
а 16
 
6.4%
р 15
 
6.0%
е 15
 
6.0%
с 12
 
4.8%
о 11
 
4.4%
к 10
 
4.0%
д 10
 
4.0%
С 10
 
4.0%
Other values (37) 110
43.8%
Arabic
ValueCountFrequency (%)
ل 5
21.7%
د 4
17.4%
ر 2
 
8.7%
و 2
 
8.7%
ة 2
 
8.7%
ا 2
 
8.7%
ح 2
 
8.7%
ق 2
 
8.7%
ع 1
 
4.3%
ى 1
 
4.3%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.169014
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:53.660665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8.8
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation361.01964
Coefficient of variation (CV)5.2959492
Kurtosis26.097481
Mean68.169014
Median Absolute Deviation (MAD)0
Skewness5.2774575
Sum14520
Variance130335.18
MonotonicityNot monotonic
2023-08-05T22:02:53.817988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 151
70.9%
2 28
 
13.1%
2022 7
 
3.3%
3 7
 
3.3%
4 5
 
2.3%
5 4
 
1.9%
7 3
 
1.4%
8 2
 
0.9%
6 2
 
0.9%
11 2
 
0.9%
Other values (2) 2
 
0.9%
ValueCountFrequency (%)
1 151
70.9%
2 28
 
13.1%
3 7
 
3.3%
4 5
 
2.3%
5 4
 
1.9%
6 2
 
0.9%
7 3
 
1.4%
8 2
 
0.9%
10 1
 
0.5%
11 2
 
0.9%
ValueCountFrequency (%)
2022 7
3.3%
17 1
 
0.5%
11 2
 
0.9%
10 1
 
0.5%
8 2
 
0.9%
7 3
1.4%
6 2
 
0.9%
5 4
1.9%
4 5
2.3%
3 7
3.3%

number
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)29.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.706161
Minimum1
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:53.994722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median15
Q327.5
95-th percentile77.5
Maximum273
Range272
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation33.665142
Coefficient of variation (CV)1.420101
Kurtosis24.684811
Mean23.706161
Median Absolute Deviation (MAD)9
Skewness4.3867663
Sum5002
Variance1133.3418
MonotonicityNot monotonic
2023-08-05T22:02:54.188777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 11
 
5.2%
7 10
 
4.7%
9 10
 
4.7%
2 9
 
4.2%
6 9
 
4.2%
8 9
 
4.2%
4 8
 
3.8%
10 7
 
3.3%
15 7
 
3.3%
11 6
 
2.8%
Other values (53) 125
58.7%
ValueCountFrequency (%)
1 5
2.3%
2 9
4.2%
3 6
2.8%
4 8
3.8%
5 11
5.2%
6 9
4.2%
7 10
4.7%
8 9
4.2%
9 10
4.7%
10 7
3.3%
ValueCountFrequency (%)
273 1
0.5%
246 1
0.5%
160 1
0.5%
146 1
0.5%
125 1
0.5%
124 1
0.5%
116 1
0.5%
96 1
0.5%
95 1
0.5%
93 1
0.5%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
regular
211 
insignificant_special
 
2

Length

Max length21
Median length7
Mean length7.1314554
Min length7

Characters and Unicode

Total characters1519
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 211
99.1%
insignificant_special 2
 
0.9%

Length

2023-08-05T22:02:54.360351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T22:02:54.498843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 211
99.1%
insignificant_special 2
 
0.9%

Most occurring characters

ValueCountFrequency (%)
r 422
27.8%
a 215
14.2%
e 213
14.0%
g 213
14.0%
l 213
14.0%
u 211
13.9%
i 10
 
0.7%
n 6
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1517
99.9%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 422
27.8%
a 215
14.2%
e 213
14.0%
g 213
14.0%
l 213
14.0%
u 211
13.9%
i 10
 
0.7%
n 6
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1517
99.9%
Common 2
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 422
27.8%
a 215
14.2%
e 213
14.0%
g 213
14.0%
l 213
14.0%
u 211
13.9%
i 10
 
0.7%
n 6
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.4%
Common
ValueCountFrequency (%)
_ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 422
27.8%
a 215
14.2%
e 213
14.0%
g 213
14.0%
l 213
14.0%
u 211
13.9%
i 10
 
0.7%
n 6
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.5%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022-12-29
213 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2130
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-29
2nd row2022-12-29
3rd row2022-12-29
4th row2022-12-29
5th row2022-12-29

Common Values

ValueCountFrequency (%)
2022-12-29 213
100.0%

Length

2023-08-05T22:02:54.638395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T22:02:54.766615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-29 213
100.0%

Most occurring characters

ValueCountFrequency (%)
2 1065
50.0%
- 426
 
20.0%
0 213
 
10.0%
1 213
 
10.0%
9 213
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1704
80.0%
Dash Punctuation 426
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1065
62.5%
0 213
 
12.5%
1 213
 
12.5%
9 213
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1065
50.0%
- 426
 
20.0%
0 213
 
10.0%
1 213
 
10.0%
9 213
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1065
50.0%
- 426
 
20.0%
0 213
 
10.0%
1 213
 
10.0%
9 213
 
10.0%

airtime
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
163 
12:00
 
12
18:00
 
11
20:00
 
6
10:00
 
5
Other values (11)
 
16

Length

Max length5
Median length0
Mean length1.1737089
Min length0

Characters and Unicode

Total characters250
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)3.8%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
163
76.5%
12:00 12
 
5.6%
18:00 11
 
5.2%
20:00 6
 
2.8%
10:00 5
 
2.3%
11:30 4
 
1.9%
17:00 2
 
0.9%
19:30 2
 
0.9%
11:00 1
 
0.5%
20:20 1
 
0.5%
Other values (6) 6
 
2.8%

Length

2023-08-05T22:02:54.903428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
12:00 12
24.0%
18:00 11
22.0%
20:00 6
12.0%
10:00 5
10.0%
11:30 4
 
8.0%
17:00 2
 
4.0%
19:30 2
 
4.0%
11:00 1
 
2.0%
20:20 1
 
2.0%
19:50 1
 
2.0%
Other values (5) 5
10.0%

Most occurring characters

ValueCountFrequency (%)
0 104
41.6%
: 50
20.0%
1 45
18.0%
2 23
 
9.2%
8 12
 
4.8%
3 8
 
3.2%
9 4
 
1.6%
7 2
 
0.8%
5 2
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
80.0%
Other Punctuation 50
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
52.0%
1 45
22.5%
2 23
 
11.5%
8 12
 
6.0%
3 8
 
4.0%
9 4
 
2.0%
7 2
 
1.0%
5 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
: 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 104
41.6%
: 50
20.0%
1 45
18.0%
2 23
 
9.2%
8 12
 
4.8%
3 8
 
3.2%
9 4
 
1.6%
7 2
 
0.8%
5 2
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 104
41.6%
: 50
20.0%
1 45
18.0%
2 23
 
9.2%
8 12
 
4.8%
3 8
 
3.2%
9 4
 
1.6%
7 2
 
0.8%
5 2
 
0.8%

airstamp
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022-12-29T12:00:00+00:00
140 
2022-12-29T04:00:00+00:00
17 
2022-12-29T10:00:00+00:00
 
12
2022-12-29T17:00:00+00:00
 
10
2022-12-29T00:00:00+00:00
 
9
Other values (11)
25 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters5325
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)1.9%

Sample

1st row2022-12-29T00:00:00+00:00
2nd row2022-12-29T00:00:00+00:00
3rd row2022-12-29T00:00:00+00:00
4th row2022-12-29T00:00:00+00:00
5th row2022-12-29T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-29T12:00:00+00:00 140
65.7%
2022-12-29T04:00:00+00:00 17
 
8.0%
2022-12-29T10:00:00+00:00 12
 
5.6%
2022-12-29T17:00:00+00:00 10
 
4.7%
2022-12-29T00:00:00+00:00 9
 
4.2%
2022-12-29T03:00:00+00:00 4
 
1.9%
2022-12-29T03:30:00+00:00 4
 
1.9%
2022-12-29T02:00:00+00:00 3
 
1.4%
2022-12-29T11:00:00+00:00 3
 
1.4%
2022-12-29T11:30:00+00:00 3
 
1.4%
Other values (6) 8
 
3.8%

Length

2023-08-05T22:02:55.053982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-29t12:00:00+00:00 140
65.7%
2022-12-29t04:00:00+00:00 17
 
8.0%
2022-12-29t10:00:00+00:00 12
 
5.6%
2022-12-29t17:00:00+00:00 10
 
4.7%
2022-12-29t00:00:00+00:00 9
 
4.2%
2022-12-29t03:00:00+00:00 4
 
1.9%
2022-12-29t03:30:00+00:00 4
 
1.9%
2022-12-29t02:00:00+00:00 3
 
1.4%
2022-12-29t11:00:00+00:00 3
 
1.4%
2022-12-29t11:30:00+00:00 3
 
1.4%
Other values (6) 8
 
3.8%

Most occurring characters

ValueCountFrequency (%)
0 1969
37.0%
2 1210
22.7%
: 639
 
12.0%
- 426
 
8.0%
1 392
 
7.4%
9 213
 
4.0%
T 213
 
4.0%
+ 213
 
4.0%
4 17
 
0.3%
3 17
 
0.3%
Other values (3) 16
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3834
72.0%
Other Punctuation 639
 
12.0%
Dash Punctuation 426
 
8.0%
Uppercase Letter 213
 
4.0%
Math Symbol 213
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1969
51.4%
2 1210
31.6%
1 392
 
10.2%
9 213
 
5.6%
4 17
 
0.4%
3 17
 
0.4%
7 10
 
0.3%
8 4
 
0.1%
5 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 426
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 213
100.0%
Math Symbol
ValueCountFrequency (%)
+ 213
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5112
96.0%
Latin 213
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1969
38.5%
2 1210
23.7%
: 639
 
12.5%
- 426
 
8.3%
1 392
 
7.7%
9 213
 
4.2%
+ 213
 
4.2%
4 17
 
0.3%
3 17
 
0.3%
7 10
 
0.2%
Other values (2) 6
 
0.1%
Latin
ValueCountFrequency (%)
T 213
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5325
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1969
37.0%
2 1210
22.7%
: 639
 
12.0%
- 426
 
8.0%
1 392
 
7.4%
9 213
 
4.0%
T 213
 
4.0%
+ 213
 
4.0%
4 17
 
0.3%
3 17
 
0.3%
Other values (3) 16
 
0.3%

runtime
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)22.9%
Missing12
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean30.328358
Minimum3
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:55.209915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median30
Q345
95-th percentile70
Maximum188
Range185
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.661729
Coefficient of variation (CV)1.0109921
Kurtosis10.043974
Mean30.328358
Median Absolute Deviation (MAD)16
Skewness2.6950185
Sum6096
Variance940.14164
MonotonicityNot monotonic
2023-08-05T22:02:55.399714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
30 34
16.0%
4 31
14.6%
45 23
10.8%
5 17
 
8.0%
10 11
 
5.2%
20 9
 
4.2%
40 7
 
3.3%
42 5
 
2.3%
12 4
 
1.9%
9 4
 
1.9%
Other values (36) 56
26.3%
(Missing) 12
 
5.6%
ValueCountFrequency (%)
3 3
 
1.4%
4 31
14.6%
5 17
8.0%
7 1
 
0.5%
9 4
 
1.9%
10 11
 
5.2%
11 2
 
0.9%
12 4
 
1.9%
14 2
 
0.9%
15 3
 
1.4%
ValueCountFrequency (%)
188 1
 
0.5%
180 2
0.9%
165 1
 
0.5%
120 3
1.4%
109 1
 
0.5%
93 1
 
0.5%
88 1
 
0.5%
70 1
 
0.5%
63 1
 
0.5%
60 1
 
0.5%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing213
Missing (%)100.0%
Memory size1.8 KiB

medium
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing159
Missing (%)74.6%
Memory size1.8 KiB
2023-08-05T22:02:55.673503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters3942
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095211.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095212.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094485.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094486.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094943.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094714.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094723.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095212.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094485.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094486.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094943.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094944.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094751.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094749.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/medium_landscape/437/1094568.jpg 1
 
1.9%
Other values (44) 44
81.5%
2023-08-05T22:02:56.115969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 378
 
9.6%
a 324
 
8.2%
m 270
 
6.8%
s 270
 
6.8%
t 270
 
6.8%
e 216
 
5.5%
p 216
 
5.5%
d 162
 
4.1%
i 162
 
4.1%
c 162
 
4.1%
Other values (22) 1512
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2754
69.9%
Other Punctuation 594
 
15.1%
Decimal Number 540
 
13.7%
Connector Punctuation 54
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 324
11.8%
m 270
9.8%
s 270
9.8%
t 270
9.8%
e 216
 
7.8%
p 216
 
7.8%
d 162
 
5.9%
i 162
 
5.9%
c 162
 
5.9%
o 108
 
3.9%
Other values (8) 594
21.6%
Decimal Number
ValueCountFrequency (%)
4 110
20.4%
1 79
14.6%
7 74
13.7%
9 67
12.4%
0 63
11.7%
3 59
10.9%
8 29
 
5.4%
5 27
 
5.0%
2 20
 
3.7%
6 12
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 378
63.6%
. 162
27.3%
: 54
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2754
69.9%
Common 1188
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 324
11.8%
m 270
9.8%
s 270
9.8%
t 270
9.8%
e 216
 
7.8%
p 216
 
7.8%
d 162
 
5.9%
i 162
 
5.9%
c 162
 
5.9%
o 108
 
3.9%
Other values (8) 594
21.6%
Common
ValueCountFrequency (%)
/ 378
31.8%
. 162
13.6%
4 110
 
9.3%
1 79
 
6.6%
7 74
 
6.2%
9 67
 
5.6%
0 63
 
5.3%
3 59
 
5.0%
_ 54
 
4.5%
: 54
 
4.5%
Other values (4) 88
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3942
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 378
 
9.6%
a 324
 
8.2%
m 270
 
6.8%
s 270
 
6.8%
t 270
 
6.8%
e 216
 
5.5%
p 216
 
5.5%
d 162
 
4.1%
i 162
 
4.1%
c 162
 
4.1%
Other values (22) 1512
38.4%

original
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing159
Missing (%)74.6%
Memory size1.8 KiB
2023-08-05T22:02:56.409086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters4050
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095211.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095212.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1094485.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1094486.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1094943.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/437/1094714.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094723.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095212.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094485.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094486.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094943.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094944.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094751.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094749.jpg 1
 
1.9%
https://static.tvmaze.com/uploads/images/original_untouched/437/1094568.jpg 1
 
1.9%
Other values (44) 44
81.5%
2023-08-05T22:02:56.843578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 378
 
9.3%
t 324
 
8.0%
a 270
 
6.7%
s 216
 
5.3%
o 216
 
5.3%
i 216
 
5.3%
m 162
 
4.0%
u 162
 
4.0%
e 162
 
4.0%
g 162
 
4.0%
Other values (23) 1782
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2862
70.7%
Other Punctuation 594
 
14.7%
Decimal Number 540
 
13.3%
Connector Punctuation 54
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 324
 
11.3%
a 270
 
9.4%
s 216
 
7.5%
o 216
 
7.5%
i 216
 
7.5%
m 162
 
5.7%
u 162
 
5.7%
e 162
 
5.7%
g 162
 
5.7%
c 162
 
5.7%
Other values (9) 810
28.3%
Decimal Number
ValueCountFrequency (%)
4 110
20.4%
1 79
14.6%
7 74
13.7%
9 67
12.4%
0 63
11.7%
3 59
10.9%
8 29
 
5.4%
5 27
 
5.0%
2 20
 
3.7%
6 12
 
2.2%
Other Punctuation
ValueCountFrequency (%)
/ 378
63.6%
. 162
27.3%
: 54
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2862
70.7%
Common 1188
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 324
 
11.3%
a 270
 
9.4%
s 216
 
7.5%
o 216
 
7.5%
i 216
 
7.5%
m 162
 
5.7%
u 162
 
5.7%
e 162
 
5.7%
g 162
 
5.7%
c 162
 
5.7%
Other values (9) 810
28.3%
Common
ValueCountFrequency (%)
/ 378
31.8%
. 162
13.6%
4 110
 
9.3%
1 79
 
6.6%
7 74
 
6.2%
9 67
 
5.6%
0 63
 
5.3%
3 59
 
5.0%
_ 54
 
4.5%
: 54
 
4.5%
Other values (4) 88
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 378
 
9.3%
t 324
 
8.0%
a 270
 
6.7%
s 216
 
5.3%
o 216
 
5.3%
i 216
 
5.3%
m 162
 
4.0%
u 162
 
4.0%
e 162
 
4.0%
g 162
 
4.0%
Other values (23) 1782
44.0%

_links_self
Text

UNIQUE 

Distinct213
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:57.105034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters8307
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique213 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2401589
2nd rowhttps://api.tvmaze.com/episodes/2575565
3rd rowhttps://api.tvmaze.com/episodes/2575566
4th rowhttps://api.tvmaze.com/episodes/2547038
5th rowhttps://api.tvmaze.com/episodes/2443149
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2401589 1
 
0.5%
https://api.tvmaze.com/episodes/2458685 1
 
0.5%
https://api.tvmaze.com/episodes/2575566 1
 
0.5%
https://api.tvmaze.com/episodes/2547038 1
 
0.5%
https://api.tvmaze.com/episodes/2443149 1
 
0.5%
https://api.tvmaze.com/episodes/2443150 1
 
0.5%
https://api.tvmaze.com/episodes/2424823 1
 
0.5%
https://api.tvmaze.com/episodes/2417619 1
 
0.5%
https://api.tvmaze.com/episodes/2445347 1
 
0.5%
https://api.tvmaze.com/episodes/2449318 1
 
0.5%
Other values (203) 203
95.3%
2023-08-05T22:02:57.531649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 852
 
10.3%
p 639
 
7.7%
s 639
 
7.7%
e 639
 
7.7%
t 639
 
7.7%
a 426
 
5.1%
i 426
 
5.1%
. 426
 
5.1%
m 426
 
5.1%
o 426
 
5.1%
Other values (16) 2769
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5325
64.1%
Other Punctuation 1491
 
17.9%
Decimal Number 1491
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 639
12.0%
s 639
12.0%
e 639
12.0%
t 639
12.0%
a 426
8.0%
i 426
8.0%
m 426
8.0%
o 426
8.0%
h 213
 
4.0%
d 213
 
4.0%
Other values (3) 639
12.0%
Decimal Number
ValueCountFrequency (%)
2 293
19.7%
4 280
18.8%
5 238
16.0%
8 161
10.8%
7 98
 
6.6%
6 96
 
6.4%
3 93
 
6.2%
1 83
 
5.6%
0 75
 
5.0%
9 74
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 852
57.1%
. 426
28.6%
: 213
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 5325
64.1%
Common 2982
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 852
28.6%
. 426
14.3%
2 293
 
9.8%
4 280
 
9.4%
5 238
 
8.0%
: 213
 
7.1%
8 161
 
5.4%
7 98
 
3.3%
6 96
 
3.2%
3 93
 
3.1%
Other values (3) 232
 
7.8%
Latin
ValueCountFrequency (%)
p 639
12.0%
s 639
12.0%
e 639
12.0%
t 639
12.0%
a 426
8.0%
i 426
8.0%
m 426
8.0%
o 426
8.0%
h 213
 
4.0%
d 213
 
4.0%
Other values (3) 639
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 852
 
10.3%
p 639
 
7.7%
s 639
 
7.7%
e 639
 
7.7%
t 639
 
7.7%
a 426
 
5.1%
i 426
 
5.1%
. 426
 
5.1%
m 426
 
5.1%
o 426
 
5.1%
Other values (16) 2769
33.3%
Distinct100
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-08-05T22:02:57.795080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.985915
Min length33

Characters and Unicode

Total characters7239
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)32.9%

Sample

1st rowhttps://api.tvmaze.com/shows/7847
2nd rowhttps://api.tvmaze.com/shows/55724
3rd rowhttps://api.tvmaze.com/shows/55724
4th rowhttps://api.tvmaze.com/shows/59329
5th rowhttps://api.tvmaze.com/shows/59484
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65696 48
22.5%
https://api.tvmaze.com/shows/66110 31
 
14.6%
https://api.tvmaze.com/shows/45424 6
 
2.8%
https://api.tvmaze.com/shows/66103 4
 
1.9%
https://api.tvmaze.com/shows/68642 4
 
1.9%
https://api.tvmaze.com/shows/59484 2
 
0.9%
https://api.tvmaze.com/shows/66153 2
 
0.9%
https://api.tvmaze.com/shows/66255 2
 
0.9%
https://api.tvmaze.com/shows/66244 2
 
0.9%
https://api.tvmaze.com/shows/66162 2
 
0.9%
Other values (90) 110
51.6%
2023-08-05T22:02:58.214767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 852
 
11.8%
s 639
 
8.8%
t 639
 
8.8%
h 426
 
5.9%
p 426
 
5.9%
a 426
 
5.9%
. 426
 
5.9%
o 426
 
5.9%
m 426
 
5.9%
6 376
 
5.2%
Other values (16) 2177
30.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4686
64.7%
Other Punctuation 1491
 
20.6%
Decimal Number 1062
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 639
13.6%
t 639
13.6%
h 426
9.1%
p 426
9.1%
a 426
9.1%
o 426
9.1%
m 426
9.1%
e 213
 
4.5%
w 213
 
4.5%
c 213
 
4.5%
Other values (3) 639
13.6%
Decimal Number
ValueCountFrequency (%)
6 376
35.4%
5 121
 
11.4%
1 114
 
10.7%
4 107
 
10.1%
9 87
 
8.2%
0 72
 
6.8%
2 57
 
5.4%
3 52
 
4.9%
8 39
 
3.7%
7 37
 
3.5%
Other Punctuation
ValueCountFrequency (%)
/ 852
57.1%
. 426
28.6%
: 213
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4686
64.7%
Common 2553
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 852
33.4%
. 426
16.7%
6 376
14.7%
: 213
 
8.3%
5 121
 
4.7%
1 114
 
4.5%
4 107
 
4.2%
9 87
 
3.4%
0 72
 
2.8%
2 57
 
2.2%
Other values (3) 128
 
5.0%
Latin
ValueCountFrequency (%)
s 639
13.6%
t 639
13.6%
h 426
9.1%
p 426
9.1%
a 426
9.1%
o 426
9.1%
m 426
9.1%
e 213
 
4.5%
w 213
 
4.5%
c 213
 
4.5%
Other values (3) 639
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 852
 
11.8%
s 639
 
8.8%
t 639
 
8.8%
h 426
 
5.9%
p 426
 
5.9%
a 426
 
5.9%
. 426
 
5.9%
o 426
 
5.9%
m 426
 
5.9%
6 376
 
5.2%
Other values (16) 2177
30.1%

summary
Text

MISSING 

Distinct76
Distinct (%)100.0%
Missing137
Missing (%)64.3%
Memory size1.8 KiB
2023-08-05T22:02:58.572402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length551
Median length141.5
Mean length100.86842
Min length27

Characters and Unicode

Total characters7666
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row<p>After an employee suddenly quits, Dongbaek is offered an opportunity to work on the performance planning team. </p>
2nd row<p>Denis requests for Dongbaek to be present at his next project.  After their work is over, Denis asks to be Dongbaek's boyfriend. </p>
3rd row<p>When Rita awakens unexpectedly aged, a mishandled spell teenage-ifies the Doom Patrol just as Willoughby asks for their help stopping the rise of Immortus and the end of the world as they know it.</p>
4th row<p>Helen moved into a converted Methodist chapel, but it was soon clear she wasn't the only resident. During investigation, Barri gets hypnotised to find answers.</p>
5th row<p>While Simon and K test out their newly acquired superpowers, Stacy hosts a speed-dating event, Goodnight and Kitty get down and dirty, and Turner goes on a wild journey through hip-hop history.</p>
ValueCountFrequency (%)
a 54
 
4.3%
the 47
 
3.8%
and 40
 
3.2%
to 32
 
2.6%
of 22
 
1.8%
p 22
 
1.8%
an 14
 
1.1%
in 14
 
1.1%
is 13
 
1.0%
with 11
 
0.9%
Other values (696) 975
78.4%
2023-08-05T22:02:59.156635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1147
15.0%
e 631
 
8.2%
a 512
 
6.7%
t 493
 
6.4%
o 419
 
5.5%
n 401
 
5.2%
s 391
 
5.1%
i 365
 
4.8%
r 335
 
4.4%
p 270
 
3.5%
Other values (63) 2702
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5634
73.5%
Space Separator 1171
 
15.3%
Math Symbol 314
 
4.1%
Other Punctuation 274
 
3.6%
Uppercase Letter 249
 
3.2%
Dash Punctuation 16
 
0.2%
Decimal Number 8
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 631
11.2%
a 512
 
9.1%
t 493
 
8.8%
o 419
 
7.4%
n 401
 
7.1%
s 391
 
6.9%
i 365
 
6.5%
r 335
 
5.9%
p 270
 
4.8%
l 256
 
4.5%
Other values (19) 1561
27.7%
Uppercase Letter
ValueCountFrequency (%)
B 29
11.6%
S 26
 
10.4%
A 23
 
9.2%
T 22
 
8.8%
M 21
 
8.4%
C 17
 
6.8%
D 13
 
5.2%
P 11
 
4.4%
K 10
 
4.0%
I 9
 
3.6%
Other values (13) 68
27.3%
Other Punctuation
ValueCountFrequency (%)
. 92
33.6%
/ 79
28.8%
, 51
18.6%
' 32
 
11.7%
! 10
 
3.6%
? 5
 
1.8%
" 2
 
0.7%
; 2
 
0.7%
: 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
6 1
 
12.5%
0 1
 
12.5%
9 1
 
12.5%
4 1
 
12.5%
3 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1147
98.0%
  24
 
2.0%
Math Symbol
ValueCountFrequency (%)
< 157
50.0%
> 157
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
68.8%
5
31.2%

Most occurring scripts

ValueCountFrequency (%)
Latin 5883
76.7%
Common 1783
 
23.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 631
 
10.7%
a 512
 
8.7%
t 493
 
8.4%
o 419
 
7.1%
n 401
 
6.8%
s 391
 
6.6%
i 365
 
6.2%
r 335
 
5.7%
p 270
 
4.6%
l 256
 
4.4%
Other values (42) 1810
30.8%
Common
ValueCountFrequency (%)
1147
64.3%
< 157
 
8.8%
> 157
 
8.8%
. 92
 
5.2%
/ 79
 
4.4%
, 51
 
2.9%
' 32
 
1.8%
  24
 
1.3%
- 11
 
0.6%
! 10
 
0.6%
Other values (11) 23
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7634
99.6%
None 27
 
0.4%
Punctuation 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1147
15.0%
e 631
 
8.3%
a 512
 
6.7%
t 493
 
6.5%
o 419
 
5.5%
n 401
 
5.3%
s 391
 
5.1%
i 365
 
4.8%
r 335
 
4.4%
p 270
 
3.5%
Other values (58) 2670
35.0%
None
ValueCountFrequency (%)
  24
88.9%
â 1
 
3.7%
ș 1
 
3.7%
ü 1
 
3.7%
Punctuation
ValueCountFrequency (%)
5
100.0%

Interactions

2023-08-05T22:02:49.556676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.176003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.761647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.361757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.976134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.673346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.286393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.877561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.483059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.090792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.793766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.405925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.997989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.605283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.208988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.925495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.528593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.124771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.733973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.328978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:50.042278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:47.640973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.241219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:48.849677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:02:49.434309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T22:02:59.309857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.621-0.0980.150-0.1780.0000.1240.173
id_embedded0.6211.000-0.503-0.054-0.0530.0440.2540.357
season-0.098-0.5031.000-0.0760.2580.0000.2760.457
number0.150-0.054-0.0761.000-0.1941.0000.3070.401
runtime-0.178-0.0530.258-0.1941.0000.4580.1480.175
type0.0000.0440.0001.0000.4581.0000.0000.000
airtime0.1240.2540.2760.3070.1480.0001.0000.794
airstamp0.1730.3570.4570.4010.1750.0000.7941.000

Missing values

2023-08-05T22:02:50.228818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T22:02:50.529591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T22:02:50.726083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
024015897847https://www.tvmaze.com/episodes/2401589/po-sezonu-videodajdzest-seasonvar-8x52-vypusk-410Выпуск 410852.0regular2022-12-292022-12-29T00:00:00+00:009.0NoneNoneNonehttps://api.tvmaze.com/episodes/2401589https://api.tvmaze.com/shows/7847None
1257556555724https://www.tvmaze.com/episodes/2575565/hocu-vse-znat-2x95-seria-95Серия 95295.0regular2022-12-292022-12-29T00:00:00+00:0011.0NoneNoneNonehttps://api.tvmaze.com/episodes/2575565https://api.tvmaze.com/shows/55724None
2257556655724https://www.tvmaze.com/episodes/2575566/hocu-vse-znat-2x96-seria-96Серия 96296.0regular2022-12-292022-12-29T00:00:00+00:0011.0NoneNoneNonehttps://api.tvmaze.com/episodes/2575566https://api.tvmaze.com/shows/55724None
3254703859329https://www.tvmaze.com/episodes/2547038/gromkij-vopros-1x42-gromkij-vopros-s-podpiscikami-novogodnij-vypuskГРОМКИЙ ВОПРОС с подписчиками | Новогодний Выпуск142.0regular2022-12-292022-12-29T00:00:00+00:00188.0NoneNoneNonehttps://api.tvmaze.com/episodes/2547038https://api.tvmaze.com/shows/59329None
4244314959484https://www.tvmaze.com/episodes/2443149/manuna-2x05-seria-5Серия 525.0regular2022-12-292022-12-29T00:00:00+00:0020.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095211.jpghttps://static.tvmaze.com/uploads/images/original_untouched/438/1095211.jpghttps://api.tvmaze.com/episodes/2443149https://api.tvmaze.com/shows/59484None
5244315059484https://www.tvmaze.com/episodes/2443150/manuna-2x06-seria-6Серия 626.0regular2022-12-292022-12-29T00:00:00+00:0020.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095212.jpghttps://static.tvmaze.com/uploads/images/original_untouched/438/1095212.jpghttps://api.tvmaze.com/episodes/2443150https://api.tvmaze.com/shows/59484None
6242482364267https://www.tvmaze.com/episodes/2424823/s-nula-1x08-seria-08Серия 0818.0regular2022-12-292022-12-29T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2424823https://api.tvmaze.com/shows/64267None
7241761964512https://www.tvmaze.com/episodes/2417619/kungur-1x12-12-seria12 серия112.0regular2022-12-292022-12-29T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2417619https://api.tvmaze.com/shows/64512None
8244534765652https://www.tvmaze.com/episodes/2445347/akter-1x05-seria-5Серия 515.0regular2022-12-292022-12-29T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2445347https://api.tvmaze.com/shows/65652None
9244931865477https://www.tvmaze.com/episodes/2449318/the-director-who-buys-me-dinner-1x05-episode-5Episode 515.0regular2022-12-2910:002022-12-29T01:00:00+00:0014.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094485.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1094485.jpghttps://api.tvmaze.com/episodes/2449318https://api.tvmaze.com/shows/65477<p>After an employee suddenly quits, Dongbaek is offered an opportunity to work on the performance planning team. </p>
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203239510716753https://www.tvmaze.com/episodes/2395107/wwe-main-event-11x52-main-event-535Main Event 5351152.0regular2022-12-292022-12-29T17:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2395107https://api.tvmaze.com/shows/16753None
204245300046668https://www.tvmaze.com/episodes/2453000/tyler-perrys-ruthless-3x17-just-keep-breathingJust Keep Breathing317.0regular2022-12-292022-12-29T17:00:00+00:0044.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/439/1097785.jpghttps://static.tvmaze.com/uploads/images/original_untouched/439/1097785.jpghttps://api.tvmaze.com/episodes/2453000https://api.tvmaze.com/shows/46668Ruth and Marva face off in front of The Highest after Malcolm's failed escape, Laura and Aaron are granted entry to the compound, and Lacey makes a rash decision.
205245317247633https://www.tvmaze.com/episodes/2453172/tyler-perrys-bruh-3x18-in-controlIn Control318.0regular2022-12-292022-12-29T17:00:00+00:0023.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/439/1097782.jpghttps://static.tvmaze.com/uploads/images/original_untouched/439/1097782.jpghttps://api.tvmaze.com/episodes/2453172https://api.tvmaze.com/shows/47633<p>Bill and Claudia discuss the boundaries of their affair, John gets held up by Alice's romantic antics at work, and Pam is determined to help Mike -- though it may be too late.</p>
206239922554061https://www.tvmaze.com/episodes/2399225/fleishman-is-in-trouble-1x08-the-liverThe Liver18.0regular2022-12-292022-12-29T17:00:00+00:0063.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094562.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1094562.jpghttps://api.tvmaze.com/episodes/2399225https://api.tvmaze.com/shows/54061<p>Seth throws a party.</p>
207243589662370https://www.tvmaze.com/episodes/2435896/hush-1x05-when-i-think-of-youWhen I think of You15.0regular2022-12-292022-12-29T17:00:00+00:0029.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094745.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1094745.jpghttps://api.tvmaze.com/episodes/2435896https://api.tvmaze.com/shows/62370<p>Syleena gets a visit from her past, causing she and Terrell to seek a huge favor from Mona Dee; Draya finds drugs at the penthouse.</p>
208243588663487https://www.tvmaze.com/episodes/2435886/wicked-city-1x05-family-secretsFamily Secrets15.0regular2022-12-292022-12-29T17:00:00+00:0041.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1094969.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1094969.jpghttps://api.tvmaze.com/episodes/2435886https://api.tvmaze.com/shows/63487<p>After almost killing her friends, Camille learns the truth about her family. On the outs with everyone, Sherise strikes a deal with a foe that leads to the death of someone they love.</p>
209243590263488https://www.tvmaze.com/episodes/2435902/snap-1x02-greek-to-meGreek To Me12.0regular2022-12-292022-12-29T17:00:00+00:0032.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095995.jpghttps://static.tvmaze.com/uploads/images/original_untouched/438/1095995.jpghttps://api.tvmaze.com/episodes/2435902https://api.tvmaze.com/shows/63488<p>When a right-wing news anchor's daughter is kidnapped by radical climate activists, she's forced to reconcile her part in the corporate lobby machine. She changes her tune, taking to the airwaves to warn the public about said system.</p>
210250211063592https://www.tvmaze.com/episodes/2502110/the-bay-7x09-trust-no-oneTrust No One79.0regular2022-12-292022-12-29T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/456/1140891.jpghttps://static.tvmaze.com/uploads/images/original_untouched/456/1140891.jpghttps://api.tvmaze.com/episodes/2502110https://api.tvmaze.com/shows/63592<p>Tamara is forced to make a call to Evan, while Dre listens in. Red speaks with Adam from another dimension. Adam's anger erupts and Belinda attempts to console him.</p>
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